Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride

Divecha, Mia S.; Derby, Jeffrey J.

doi:10.1016/j.jcrysgro.2017.10.001

Title: Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride

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Abstract

Historically, the melt growth of II-VI crystals has benefitted by the application of the accelerated crucible rotation technique (ACRT). Here, we employ a comprehensive numerical model to assess the impact of two ACRT schedules designed for a cadmium zinc telluride growth system per the classical recommendations of Capper and co-workers. The “flow maximizing” ACRT schedule, with higher rotation, effectively mixes the solutal field in the melt but does not reduce supercooling adjacent to the growth interface. The ACRT schedule derived for stable Ekman flow, with lower rotation, proves more effective in reducing supercooling and promoting stable growth. Furthermore, these counterintuitive results highlight the need for more comprehensive studies on the optimization of ACRT schedules for specific growth systems and for desired growth outcomes.

Authors:

^[1];

^[1]

Univ. of Minnesota, Minneapolis, MN (United States)

Publication Date:: Tue Oct 03 00:00:00 EDT 2017

Research Org.:: Univ. of Minnesota, Minneapolis, MN (United States); Washington State Univ., Pullman, WA (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation

OSTI Identifier:: 1397252

Alternate Identifier(s):: OSTI ID: 1549246

Grant/Contract Number:: NA0002565; 118717-G003369

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Crystal Growth

Additional Journal Information:: Journal Volume: 480; Journal ID: ISSN 0022-0248

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 36 MATERIALS SCIENCE; Computer simulation; Crystal morphology; Convection; Heat transfer; Mass transfer; Semiconducting II-VI materials

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                    Divecha, Mia S., and Derby, Jeffrey J. Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride.  United States: N. p., 2017. 
Web.  doi:10.1016/j.jcrysgro.2017.10.001.

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                    Divecha, Mia S., & Derby, Jeffrey J. Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride.  United States.  https://doi.org/10.1016/j.jcrysgro.2017.10.001

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                    Divecha, Mia S., and Derby, Jeffrey J. Tue .  
"Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride".  United States.  https://doi.org/10.1016/j.jcrysgro.2017.10.001.  https://www.osti.gov/servlets/purl/1397252.

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@article{osti_1397252,

  title        = {Towards Optimization of ACRT Schedules Applied to the Gradient Freeze Growth of Cadmium Zinc Telluride},

  author       = {Divecha, Mia S. and Derby, Jeffrey J.},

  abstractNote = {Historically, the melt growth of II-VI crystals has benefitted by the application of the accelerated crucible rotation technique (ACRT). Here, we employ a comprehensive numerical model to assess the impact of two ACRT schedules designed for a cadmium zinc telluride growth system per the classical recommendations of Capper and co-workers. The “flow maximizing” ACRT schedule, with higher rotation, effectively mixes the solutal field in the melt but does not reduce supercooling adjacent to the growth interface. The ACRT schedule derived for stable Ekman flow, with lower rotation, proves more effective in reducing supercooling and promoting stable growth. Furthermore, these counterintuitive results highlight the need for more comprehensive studies on the optimization of ACRT schedules for specific growth systems and for desired growth outcomes.},

  doi          = {10.1016/j.jcrysgro.2017.10.001},

  journal      = {Journal of Crystal Growth},

  number       = ,

  volume       = 480,

  place        = {United States},

  year         = {Tue Oct 03 00:00:00 EDT 2017},

  month        = {Tue Oct 03 00:00:00 EDT 2017}

}

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